@article{hairston2014usability,

title = {Usability of four commercially-oriented EEG systems},

author = {David W Hairston and Keith W Whitaker and Anthony J Ries and Jean M Vettel and Cortney J Bradford and Scott E Kerick and Kaleb McDowell},

url = {https://iopscience.iop.org/article/10.1088/1741-2560/11/4/046018/meta},

year  = {2014},

date = {2014-07-01},

journal = {Journal of Neural Engineering},

volume = {11},

number = {4},

pages = {046018},

publisher = {IOP Publishing},

abstract = {Electroencephalography (EEG) holds promise as a neuroimaging technology that can be used to understand how the human brain functions in real-world, operational settings while individuals move freely in perceptually-rich environments. In recent years, several EEG systems have been developed that aim to increase the usability of the neuroimaging technology in real-world settings. Here, the usability of three wireless EEG systems from different companies are compared to a conventional wired EEG system, BioSemi's ActiveTwo, which serves as an established laboratory-grade 'gold standard' baseline. The wireless systems compared include Advanced Brain Monitoring's B-Alert X10, Emotiv Systems' EPOC and the 2009 version of QUASAR's Dry Sensor Interface 10–20. The design of each wireless system is discussed in relation to its impact on the system's usability as a potential real-world neuroimaging system. Evaluations are based on having participants complete a series of cognitive tasks while wearing each of the EEG acquisition systems. This report focuses on the system design, usability factors and participant comfort issues that arise during the experimental sessions. In particular, the EEG systems are assessed on five design elements: adaptability of the system for differing head sizes, subject comfort and preference, variance in scalp locations for the recording electrodes, stability of the electrical connection between the scalp and electrode, and timing integration between the EEG system, the stimulus presentation computer and other external events.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{estepp2010evaluation,

title = {Evaluation of a Dry Electrode System for Electroencephalography: Applications for Psychophysiological Cognitive Workload Assessment},

author = {Justin R Estepp and Jason W Monnin and James C Christensen and Glenn F Wilson},

doi = {First Published September 1, 2010 Research Article https://doi.org/10.1177/154193121005400305},

year  = {2010},

date = {2010-09-01},

booktitle = {Proceedings of the Human Factors and Ergonomics Society Annual Meeting},

volume = {54},

number = {3},

pages = {210--214},

organization = {SAGE Publications Sage CA: Los Angeles, CA},

abstract = {Advances in state-of-the-art dry electrode technology have led to the development of a novel dry electrode system for electroencephalography (QUASAR, Inc.; San Diego, California, USA). While basic systems-level testing and comparison of this dry electrode system to conventional wet electrode systems has proved to be very favorable, very limited data has been collected that demonstrates the ability of QUASAR's dry electrode system to replicate results produced in more applied, dynamic testing environments that may be used for human factors applications. In this study, QUASAR's dry electrode headset was used in combination with traditional wet electrodes to determine the ability of the dry electrode system to accurately differentiate between varying levels of cognitive workload. Results show that the accuracy in cognitive workload assessment obtained with wet electrodes is comparable to that obtained with the dry electrodes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{antonenko2010using,

title = {Using Electroencephalography to Measure Cognitive Load},

author = {Pavlo Antonenko and Fred Paas and Roland Grabner and Tamara Van Gog},

doi = {dx.doi.org/10.1007/s10648-010-9130-y},

year  = {2010},

date = {2010-04-29},

journal = {Educational Psychology Review},

volume = {22},

number = {4},

pages = {425--438},

publisher = {Springer},

abstract = {Application of physiological methods, in particular electroencephalography (EEG), offers new and promising approaches to educational psychology research. EEG is identified as a physiological index that can serve as an online, continuous measure of cognitive load detecting subtle fluctuations in instantaneous load, which can help explain effects of instructional interventions when measures of overall cognitive load fail to reflect such differences in cognitive processing. This paper presents a review of seminal literature on the use of continuous EEG to measure cognitive load and describes two case studies on learning from hypertext and multimedia that employed EEG methodology to collect and analyze cognitive load data.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}